About the role
Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts—especially our own employees! And as winners of Glassdoor’s Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk. Why This Role Now Our Client Success team is consistently one of the highest-rated parts of the Awardco experience because we don’t just support clients; we partner with them. As we scale globally and bring AI capabilities deeper into the user experience, we’re building a faster, smarter, AI-agent-augmented support model, and this leader owns that journey end to end. Just as critical is knowing where automation should stop: pinpointing the moments where human judgment, empathy, and connection still create the most value, and protecting those touchpoints so efficiency never detracts from the customer experience or satisfaction. You’ll step into a global support organization spanning chat, email, and phone, a modern Salesforce-based service stack, and an active mandate to raise the bar on responsiveness, resolution, and customer experience worldwide. What You’ll Own Agentic Support Transformation Define and drive the multi-phase roadmap to migrate chat, email, and phone support to an AI-agent-augmented model, starting with agent-assisted article surfacing, case structuring, and deflection, then advancing to deeper platform-data-aware automation. Stand up and govern AI support agents: escalation rules, tone, guardrails, success metrics, and human-in-the-loop review (agents assist; humans decide). Target measurable case deflection and faster resolution while protecting CSAT and quality. • Own agent performance management by monitoring telemetry and scorecards (quality, speed, escalation rate, customer sentiment), running root-cause analysis on failed cases, and iterating in test, deploy, and learn cycles. Partner cross-functionally with Product and Engineering on the data access and platform connectivity required to mature the agentic experience over time. Build the operating discipline of an “agent manager” function within support, treating AI agents as part of a hybrid human and digital workforce. People Leadership & Team Scaling Lead, coach, and grow a global, multi-tier support team across regions and time zones. Scale the organization responsibly through hiring, ramp, and career pathing, shifting human roles from repetitive tasks toward high-value, judgment-driven customer interactions. Re-shape KPIs from activity-based metrics toward outcome- and orchestration-based performance as
